Attempts in Using Statistical Tools for Image Restoration Purposes

摘要

The effectiveness of restoration techniques mainly depends on the accuracy of the image modeling. Many image-degradation models have been developed based on different assumptions. One of the most popular degradation models is the linear continuous image-degradation where it is assumed that the image blur can be modeled as a superposition with an impulse response H that may be space variant and its output is subject to an additive noise. The research reported in the paper aimed the use of statistical concepts and tools for developing a new class of image restoration algorithms. Several variants of a heuristic scatter matrices based algorithm (HSBA) and the algorithm HBA that uses the Bhattacharyya coefficient for image restoration are presented in the second section. The final section presents a series of experimental results and concluding remarks.